This letter presents the first attempt of exploiting deep learning (DL) in the signal detection of
orthogonal frequency division multiplexing with index modulation (OFDM-IM) systems …

Multiple-mode orthogonal frequency division multiplexing with index modulation (MM-OFDM-
IM), which transmits an OFDM signal with information bits embedded onto multiple …

Non-orthogonal communications are expected to play a key role in future wireless systems.
In downlink transmissions, the data symbols are broadcast from a base station to different …

Index modulation (IM) leads to a decrease in power consumption and transmitter complexity
compared to classical orthogonal frequency division multiplexing (OFDM) systems. The …

As an emerging multi-carrier transmission scheme, multiple-mode orthogonal frequency
division multiplexing with index modulation (MM-OFDM-IM) conveys information through …

We propose a novel deep energy autoencoder (EA) for noncoherent multicarrier multiuser
single-input multiple-output (MU-SIMO) systems under fading channels. In particular, a …

In this paper, a novel opportunistic spectrum sharing scheme, based on orthogonal
frequency division multiplexing with index modulation (OFDM-IM), is proposed for cognitive …

This paper proposes a deep learning (DL)-aided multicarrier (MC) system operating on
fading channels, where both modulation and demodulation blocks are modeled by deep …

This letter presents the power of deep learning for signal detection in orthogonal frequency
division multiplexing with index modulation (OFDM-IM) systems. In this letter, we propose …

We propose a new spread orthogonal frequency division multiplexing with index modulation
(S-OFDM-IM), which employs precoding matrices such as Walsh-Hadamard (WH) and …